Evidence map›Paper›PMID 39908365›Full record

ArticleScience advances2025

Elderly vulnerability to temperature-related mortality risks in China.

Xin Yao, Ying Qu, Ashok K Mishra, Michael E Mann, Liqiang Zhang, Chen Bai, Mengting Li, Jintai Lin, Jing Wei, Qiwei Yu and 7 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xin YaoFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0009-0009-2060-7321
Ying QuFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-4613-8625
Ashok K MishraPresent address: Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA.
Michael E MannDepartment of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-3067-296X
Liqiang ZhangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-4175-7590
Chen BaiSchool of Labor and Human Resources, Renmin University of China, Beijing, 100872, China.
Mengting LiSchool of Labor and Human Resources, Renmin University of China, Beijing, 100872, China.ORCID 0000-0002-4942-4184
Jintai LinDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.ORCID 0000-0002-2362-2940
Jing WeiDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
Qiwei YuFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Ruiqiang DingFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0003-4139-3843
Yuebin WangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Lei ZhangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0009-0009-1254-6282
Jing YangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0001-7063-6264
Junpei TaoFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Suhong LiuFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Qihao WangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

The elderly face elevated mortality risk due to rising temperature. Previous assessments of temperature-related mortality, however, lack a comprehensive analysis of distinct impacts of temperature change across different timescales and characteristics. Using a longitudinal survey of 27,233 elderly Chinese citizens from 2005 to 2018, we establish connections between rising temperatures, temperature variability, and extreme heat with increased mortality risk, assessed through four annual metrics that combine temperature and humidity. The intensity and prolonged duration of extreme heat are found to have the greatest impact on mortality risk. Furthermore, by identifying heterogeneous impacts based on location, sex, age, obesity, income, and diet, we reveal the pathways through which temperature metrics are likely to influence mortality risk. Our study highlights the compound effects of rising temperatures for elderly populations, and it could be expanded to other countries and regions experiencing similar challenges due to an aging population experiencing warming conditions.

Indexed as

Hot TemperatureMortalityAgedAged, 80 and overChinaClimate ChangeFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsTemperature

Identifiers

PMID39908365
PMCPMC11797541

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.